






"""simple docstring"""





import heapq
import sys

import numpy as np

_SCREAMING_SNAKE_CASE   :							str          =		tuple[int, int]






class 	a		:






    def __init__(			self	:				int   )	->						Optional[int]:
      lowerCamelCase_       	=		[]
      lowerCamelCase_       	=		set()






    def   UpperCamelCase			(			self	:				Optional[int]   )	->						str:
      if not self.empty():
        return self.elements[0][0]
      else:
        return float('inf'   )






    def   UpperCamelCase			(			self	:				List[str]   )	->						Any:
      return len(self.elements   ) == 0






    def   UpperCamelCase			(			self	:				Union[str, Any]			,		__SCREAMING_SNAKE_CASE	:				List[Any]			,		__SCREAMING_SNAKE_CASE	:				List[str]   )	->						Optional[int]:
      if item not in self.set:
        heapq.heappush(self.elements			,		(priority, item)   )
        self.set.add(__SCREAMING_SNAKE_CASE   )
      else:
        # update
        # print("update", item)
        lowerCamelCase_       	=		[]
        ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		heapq.heappop(self.elements   )
        while x != item:
          temp.append((pri, x)   )
          ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		heapq.heappop(self.elements   )
        temp.append((priority, item)   )
        for pro, xxx in temp:
          heapq.heappush(self.elements			,		(pro, xxx)   )






    def   UpperCamelCase			(			self	:				Tuple			,		__SCREAMING_SNAKE_CASE	:				int   )	->						str:
      if item in self.set:
        self.set.remove(__SCREAMING_SNAKE_CASE   )
        lowerCamelCase_       	=		[]
        ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		heapq.heappop(self.elements   )
        while x != item:
          temp.append((pro, x)   )
          ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		heapq.heappop(self.elements   )
        for prito, yyy in temp:
          heapq.heappush(self.elements			,		(prito, yyy)   )






    def   UpperCamelCase			(			self	:				Any   )	->						Union[str, Any]:
      return self.elements[0][1]






    def   UpperCamelCase			(			self	:				int   )	->						Optional[Any]:
      ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		heapq.heappop(self.elements   )
      self.set.remove(__SCREAMING_SNAKE_CASE   )
      return (priority, item)







def 	lowerCamelCase__			(				_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						TPos					) ->							int:
  # euclidean distance
  lowerCamelCase_       	=		np.array(_lowerCamelCase					)
  lowerCamelCase_       	=		np.array(_lowerCamelCase					)
  return np.linalg.norm(a - b					)







def 	lowerCamelCase__			(				_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						TPos					) ->							Union[str, Any]:
  # integer division by time variable
  return consistent_heuristic(_lowerCamelCase						,							_lowerCamelCase					) // t







def 	lowerCamelCase__			(				_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						TPos					) ->							int:
  # manhattan distance
  return abs(p[0] - goal[0]					) + abs(p[1] - goal[1]					)







def 	lowerCamelCase__			(				_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						int						,							_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						dict[TPos, float]					) ->							Any:
  lowerCamelCase_       	=		g_function[start] + Wa * heuristics[i](_lowerCamelCase						,							_lowerCamelCase					)
  return ans







def 	lowerCamelCase__			(				_lowerCamelCase			:						Dict						,							_lowerCamelCase			:						Dict						,							_lowerCamelCase			:						List[Any]					) ->							Union[str, Any]:
  lowerCamelCase_       	=		np.chararray((n, n)					)
  for i in range(_lowerCamelCase					):
    for j in range(_lowerCamelCase					):
      lowerCamelCase_       	=		'*'

  for i in range(_lowerCamelCase					):
    for j in range(_lowerCamelCase					):
      if (j, (n - 1) - i) in blocks:
        lowerCamelCase_       	=		'#'

  lowerCamelCase_       	=		'-'
  lowerCamelCase_       	=		back_pointer[goal]
  while x != start:
    ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		x
    # print(x)
    lowerCamelCase_       	=		'-'
    lowerCamelCase_       	=		back_pointer[x]
  lowerCamelCase_       	=		'-'

  for i in range(_lowerCamelCase					):
    for j in range(_lowerCamelCase					):
      if (i, j) == (0, n - 1):
        print(grid[i][j]						,							end=' '					)
        print('<-- End position'						,							end=' '					)
      else:
        print(grid[i][j]						,							end=' '					)
    print()
  print('^'					)
  print('Start position'					)
  print()
  print('# is an obstacle'					)
  print('- is the path taken by algorithm'					)
  print('PATH TAKEN BY THE ALGORITHM IS:-'					)
  lowerCamelCase_       	=		back_pointer[goal]
  while x != start:
    print(_lowerCamelCase						,							end=' '					)
    lowerCamelCase_       	=		back_pointer[x]
  print(_lowerCamelCase					)
  sys.exit()







def 	lowerCamelCase__			(				_lowerCamelCase			:						TPos					) ->							Any:
  if p[0] < 0 or p[0] > n - 1:
    return False
  if p[1] < 0 or p[1] > n - 1:
    return False
  return True







def 	lowerCamelCase__			(				_lowerCamelCase			:						List[Any]						,							_lowerCamelCase			:						Any						,							_lowerCamelCase			:						Dict						,							_lowerCamelCase			:						Tuple						,							_lowerCamelCase			:						int						,							_lowerCamelCase			:						int						,							_lowerCamelCase			:						List[str]						,							_lowerCamelCase			:						List[Any]						,							) ->							Dict:
  for itera in range(_lowerCamelCase					):
    open_list[itera].remove_element(_lowerCamelCase					)
  # print("s", s)
  # print("j", j)
  ((lowerCamelCase_)	,      (lowerCamelCase_))       	=		s
  lowerCamelCase_       	=		(x - 1, y)
  lowerCamelCase_       	=		(x + 1, y)
  lowerCamelCase_       	=		(x, y + 1)
  lowerCamelCase_       	=		(x, y - 1)

  for neighbours in [left, right, up, down]:
    if neighbours not in blocks:
      if valid(_lowerCamelCase					) and neighbours not in visited:
        # print("neighbour", neighbours)
        visited.add(_lowerCamelCase					)
        lowerCamelCase_       	=		-1
        lowerCamelCase_       	=		float('inf'					)

      if valid(_lowerCamelCase					) and g_function[neighbours] > g_function[s] + 1:
        lowerCamelCase_       	=		g_function[s] + 1
        lowerCamelCase_       	=		s
        if neighbours not in close_list_anchor:
          open_list[0].put(_lowerCamelCase						,							key(_lowerCamelCase						,							0						,							_lowerCamelCase						,							_lowerCamelCase					)					)
          if neighbours not in close_list_inad:
            for var in range(1						,							_lowerCamelCase					):
              if key(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					) <= Wa * key(
                  _lowerCamelCase						,							0						,							_lowerCamelCase						,							_lowerCamelCase					):
                open_list[j].put(
                    _lowerCamelCase						,							key(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)					)







def 	lowerCamelCase__			(				) ->							List[str]:
  lowerCamelCase_       	=		[]
  for x in range(1						,							5					):
    for y in range(1						,							6					):
      some_list.append((x, y)					)

  for x in range(15						,							20					):
    some_list.append((x, 17)					)

  for x in range(10						,							19					):
    for y in range(1						,							15					):
      some_list.append((x, y)					)

    # L block
  for x in range(1						,							4					):
    for y in range(12						,							19					):
      some_list.append((x, y)					)
  for x in range(3						,							13					):
    for y in range(16						,							19					):
      some_list.append((x, y)					)
  return some_list


_SCREAMING_SNAKE_CASE   :							int          =		{0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

_SCREAMING_SNAKE_CASE   :							List[str]          =		[
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
_SCREAMING_SNAKE_CASE   :							Any          =		make_common_ground()


_SCREAMING_SNAKE_CASE   :							List[Any]          =		blocks_blk
# hyper parameters
_SCREAMING_SNAKE_CASE   :							int          =		1
_SCREAMING_SNAKE_CASE   :							Optional[int]          =		1
_SCREAMING_SNAKE_CASE   :							Dict          =		20
_SCREAMING_SNAKE_CASE   :							Optional[Any]          =		3  # one consistent and two other inconsistent

# start and end destination
_SCREAMING_SNAKE_CASE   :							int          =		(0, 0)
_SCREAMING_SNAKE_CASE   :							int          =		(n - 1, n - 1)

_SCREAMING_SNAKE_CASE   :							Union[str, Any]          =		1







def 	lowerCamelCase__			(				_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						TPos						,							_lowerCamelCase			:						int					) ->							Tuple:
  lowerCamelCase_       	=		{start: 0, goal: float('inf'					)}
  lowerCamelCase_       	=		{start: -1, goal: -1}
  lowerCamelCase_       	=		[]
  lowerCamelCase_       	=		set()

  for i in range(_lowerCamelCase					):
    open_list.append(PriorityQueue()					)
    open_list[i].put(_lowerCamelCase						,							key(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)					)

  lowerCamelCase_       	=		[]
  lowerCamelCase_       	=		[]
  while open_list[0].minkey() < float('inf'					):
    for i in range(1						,							_lowerCamelCase					):
      # print(open_list[0].minkey(), open_list[i].minkey())
      if open_list[i].minkey() <= Wa * open_list[0].minkey():
        global t
        t += 1
        if g_function[goal] <= open_list[i].minkey():
          if g_function[goal] < float('inf'					):
            do_something(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)
        else:
          lowerCamelCase_	,      lowerCamelCase_       	=		open_list[i].top_show()
          visited.add(_lowerCamelCase					)
          expand_state(
              _lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							)
          close_list_inad.append(_lowerCamelCase					)
      else:
        if g_function[goal] <= open_list[0].minkey():
          if g_function[goal] < float('inf'					):
            do_something(_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)
        else:
          lowerCamelCase_       	=		open_list[0].top_show()
          visited.add(_lowerCamelCase					)
          expand_state(
              _lowerCamelCase						,							0						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase						,							)
          close_list_anchor.append(_lowerCamelCase					)
  print('No path found to goal'					)
  print()
  for i in range(n - 1						,							-1						,							-1					):
    for j in range(_lowerCamelCase					):
      if (j, i) in blocks:
        print('#'						,							end=' '					)
      elif (j, i) in back_pointer:
        if (j, i) == (n - 1, n - 1):
          print('*'						,							end=' '					)
        else:
          print('-'						,							end=' '					)
      else:
        print('*'						,							end=' '					)
      if (j, i) == (n - 1, n - 1):
        print('<-- End position'						,							end=' '					)
    print()
  print('^'					)
  print('Start position'					)
  print()
  print('# is an obstacle'					)
  print('- is the path taken by algorithm'					)


if __name__ == "__main__":
  multi_a_star(start, goal, n_heuristic)












"""simple docstring"""





import json
import os
import unittest

from transformers import DebertaTokenizer, DebertaTokenizerFast
from transformers.models.deberta.tokenization_deberta import VOCAB_FILES_NAMES
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class 	a		(   __snake_case    , unittest.TestCase						):
    SCREAMING_SNAKE_CASE		:	Optional[int]		=					DebertaTokenizer
    SCREAMING_SNAKE_CASE		:	Optional[int]		=					True
    SCREAMING_SNAKE_CASE		:	Any		=					DebertaTokenizerFast






    def   UpperCamelCase			(			self	:				Optional[Any]   )	->						Dict:
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCamelCase_       	=		[
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '[UNK]',
      ]
      lowerCamelCase_       	=		dict(zip(__SCREAMING_SNAKE_CASE			,		range(len(__SCREAMING_SNAKE_CASE   )   )   )   )
      lowerCamelCase_       	=		['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      lowerCamelCase_       	=		{'unk_token': '[UNK]'}

      lowerCamelCase_       	=		os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES['vocab_file']   )
      lowerCamelCase_       	=		os.path.join(self.tmpdirname			,		VOCAB_FILES_NAMES['merges_file']   )
      with open(self.vocab_file			,		'w'			,		encoding='utf-8'   ) as fp:
        fp.write(json.dumps(__SCREAMING_SNAKE_CASE   ) + '\n'   )
      with open(self.merges_file			,		'w'			,		encoding='utf-8'   ) as fp:
        fp.write('\n'.join(__SCREAMING_SNAKE_CASE   )   )






    def   UpperCamelCase			(			self	:				Tuple			,		**__SCREAMING_SNAKE_CASE	:				Dict   )	->						List[Any]:
      kwargs.update(self.special_tokens_map   )
      return self.tokenizer_class.from_pretrained(self.tmpdirname			,		**__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				str			,		__SCREAMING_SNAKE_CASE	:				Any   )	->						Dict:
      lowerCamelCase_       	=		'lower newer'
      lowerCamelCase_       	=		'lower newer'
      return input_text, output_text






    def   UpperCamelCase			(			self	:				Optional[Any]   )	->						Optional[Any]:
      lowerCamelCase_       	=		self.get_tokenizer()
      lowerCamelCase_       	=		'lower newer'
      lowerCamelCase_       	=		['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
      lowerCamelCase_       	=		tokenizer.tokenize(__SCREAMING_SNAKE_CASE   )
      self.assertListEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokens + [tokenizer.unk_token]
      lowerCamelCase_       	=		[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE   )			,		__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				Union[str, Any]   )	->						Tuple:
      lowerCamelCase_       	=		self.get_tokenizer()
      lowerCamelCase_       	=		tokenizer('Hello'			,		'World'   )
      lowerCamelCase_       	=		[0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1]
      self.assertListEqual(tokd['token_type_ids']			,		__SCREAMING_SNAKE_CASE   )






    @slow
    def   UpperCamelCase			(			self	:				Union[str, Any]   )	->						Tuple:
      lowerCamelCase_       	=		self.tokenizer_class.from_pretrained('microsoft/deberta-base'   )

      lowerCamelCase_       	=		tokenizer.encode('sequence builders'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode('multi-sequence build'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokenizer.encode(
          'sequence builders'			,		add_special_tokens=__SCREAMING_SNAKE_CASE			,		add_prefix_space=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode(
          'sequence builders'			,		'multi-sequence build'			,		add_special_tokens=__SCREAMING_SNAKE_CASE			,		add_prefix_space=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode






    @slow
    def   UpperCamelCase			(			self	:				Optional[int]   )	->						Optional[Any]:
      lowerCamelCase_       	=		[self.tokenizer_class]
      if self.test_rust_tokenizer:
        tokenizer_classes.append(self.rust_tokenizer_class   )

      for tokenizer_class in tokenizer_classes:
        lowerCamelCase_       	=		tokenizer_class.from_pretrained('microsoft/deberta-base'   )

        lowerCamelCase_       	=		[
            'ALBERT: A Lite BERT for Self-supervised Learning of Language Representations',
            'ALBERT incorporates two parameter reduction techniques',
            'The first one is a factorized embedding parameterization. By decomposing the large vocabulary'
            ' embedding matrix into two small matrices, we separate the size of the hidden layers from the size of'
            ' vocabulary embedding.',
        ]

        lowerCamelCase_       	=		tokenizer(__SCREAMING_SNAKE_CASE			,		padding=__SCREAMING_SNAKE_CASE   )
        lowerCamelCase_       	=		[tokenizer.decode(__SCREAMING_SNAKE_CASE			,		skip_special_tokens=__SCREAMING_SNAKE_CASE   ) for seq in encoding['input_ids']]

        # fmt: off
        lowerCamelCase_       	=		{
            'input_ids': [
                [1, 2118, 11126, 565, 35, 83, 25191, 163, 18854, 13, 12156, 12, 16101, 25376, 13807, 9, 22205, 27893, 1635, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                [1, 2118, 11126, 565, 24536, 80, 43797, 4878, 7373, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                [1, 133, 78, 65, 16, 10, 3724, 1538, 33183, 11303, 43797, 1938, 4, 870, 24165, 29105, 5, 739, 32644, 33183, 11303, 36173, 88, 80, 650, 7821, 45940, 6, 52, 2559, 5, 1836, 9, 5, 7397, 13171, 31, 5, 1836, 9, 32644, 33183, 11303, 4, 2]
            ],
            'token_type_ids': [
                [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
            ],
            'attention_mask': [
                [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
            ]
        }
        # fmt: on

        lowerCamelCase_       	=		[
            'ALBERT: A Lite BERT for Self-supervised Learning of Language Representations',
            'ALBERT incorporates two parameter reduction techniques',
            'The first one is a factorized embedding parameterization. By decomposing the large vocabulary'
            ' embedding matrix into two small matrices, we separate the size of the hidden layers from the size of'
            ' vocabulary embedding.',
        ]

        self.assertDictEqual(encoding.data			,		__SCREAMING_SNAKE_CASE   )

        for expected, decoded in zip(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   ):
          self.assertEqual(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )




